netresponse (version 1.32.2)

bic.mixture: BIC mixture

Description

Latent class analysis based on (infinite) Gaussian mixture model. If the input is data matrix, a multivariate model is fitted; if the input is a vector, a univariate model is fitted

Usage

bic.mixture(x, max.modes, bic.threshold = 0, min.modes = 1, ...)

Arguments

x

samples x features matrix for multivariate analysis, or a vector for univariate analysis

max.modes

Maximum number of modes to be checked for mixture model selection

bic.threshold

BIC threshold which needs to be exceeded before a new mode is added to the mixture.

min.modes

minimum number of modes

...

Further optional arguments to be passed

Value

• Fitted latent class model (parameters and free energy)

References

See citation("netresponse")